6533b828fe1ef96bd1288d37

RESEARCH PRODUCT

Load forecast on intelligent buildings based on temporary occupancy monitoring

Celson LimaRamiro MoraisAdrian FloreaJose A. Oliveira-limaJoão Martins

subject

EngineeringArtificial neural networkOccupancybusiness.industry020209 energyMechanical EngineeringModel fitting02 engineering and technologyBuilding and ConstructionEnergy consumptionInvestment (macroeconomics)Transport engineering0202 electrical engineering electronic engineering information engineeringParking lotElectrical and Electronic EngineeringbusinessCivil and Structural Engineering

description

The modeling of energy consumption in buildings must consider occupancy as a relevant input, since it plays a very important role in the overall building's energy consumption. Frequently, buildings lack of permanent occupancy monitoring solutions. However, they may include data sources that are correlated with real building occupancy. This study proposes a new methodology for energy consumption modeling, supported by these alternative data sources, such as the number of vehicles in a parking lot. The aim is to mitigate investment in permanent occupancy monitoring solutions. The proposed methodology makes use of short-term real occupancy monitoring for model fitting, to enable the development of occupancy and energy consumption models, based on these alternative data sources.

yearjournalcountryeditionlanguage
2016-03-01Energy and Buildings
https://doi.org/10.1016/j.enbuild.2016.01.028